Software Engineer, Research Acceleration

Thinking Machines Lab's mission is to empower humanity through advancing collaborative general intelligence. They are seeking engineers to build libraries and tools that accelerate research, focusing on internal infrastructure and collaboration with researchers to enhance research velocity.

Responsibilities:

• Design, build, and operate research infrastructure including evaluation frameworks, RL training systems, experiment tracking platforms, visualization tools, and shared utilities
• Develop high-throughput, scalable pipelines for distributed evaluation, reward modeling, and multimodal assessment
• Build systems for reproducibility, traceability, and robust quality control across research experiments and model training runs. Implement monitoring and observability
• Partner directly with researchers to identify bottlenecks and unlock new capabilities. Own research tooling like a product manager, proactively seeking feedback and tracking adoption
• Collaborate with infrastructure, data, and product teams to integrate tools across the technical stack